Act I: Decision Making

In the “spring” of RDADA, we thaw stilted preconceptions about data science by introducing the decision-making principle as an archimedean point to leverage the unrealized potential of data. With some organizational committment to data science, whether as good-will or actual investment, stakeholders and data scientists alike engage in brainstorming around pressing problems and exciting data science proposals. Great things are possible and we are eager to realize the potential of data.

Week	Perform	Compose	Review
2	50%	25%
3	100%	50%
4		75%	33%
5		100%	66%